Bache, Stefan Milton, and Hadley Wickham. 2022.
Magrittr: A Forward-Pipe Operator for r.
https://CRAN.R-project.org/package=magrittr.
Dancho, Matt, and Davis Vaughan. 2022.
Tidyquant: Tidy Quantitative Financial Analysis.
https://github.com/business-science/tidyquant.
Grolemund, Garrett, and Hadley Wickham. 2011.
“Dates and Times Made Easy with lubridate.” Journal of Statistical Software 40 (3): 1–25.
https://www.jstatsoft.org/v40/i03/.
Hyndman, Rob. 2023.
Fpp3: Data for "Forecasting: Principles and Practice" (3rd Edition).
https://CRAN.R-project.org/package=fpp3.
Müller, Kirill, and Hadley Wickham. 2022.
Tibble: Simple Data Frames.
https://CRAN.R-project.org/package=tibble.
———. 2022a.
Fable: Forecasting Models for Tidy Time Series.
https://CRAN.R-project.org/package=fable.
———. 2022b.
Feasts: Feature Extraction and Statistics for Time Series.
https://CRAN.R-project.org/package=feasts.
O’Hara-Wild, Mitchell, Rob Hyndman, Earo Wang, and Rakshitha Godahewa. 2022.
Tsibbledata: Diverse Datasets for Tsibble.
https://CRAN.R-project.org/package=tsibbledata.
Ryan, Jeffrey A., and Joshua M. Ulrich. 2022a.
Quantmod: Quantitative Financial Modelling Framework.
https://CRAN.R-project.org/package=quantmod.
———. 2022b.
Xts: eXtensible Time Series.
https://github.com/joshuaulrich/xts.
Sievert, Carson. 2020.
Interactive Web-Based Data Visualization with r, Plotly, and Shiny. Chapman; Hall/CRC.
https://plotly-r.com.
Sievert, Carson, Chris Parmer, Toby Hocking, Scott Chamberlain, Karthik Ram, Marianne Corvellec, and Pedro Despouy. 2022.
Plotly: Create Interactive Web Graphics via Plotly.js.
https://CRAN.R-project.org/package=plotly.
Spinu, Vitalie, Garrett Grolemund, and Hadley Wickham. 2023.
Lubridate: Make Dealing with Dates a Little Easier.
https://CRAN.R-project.org/package=lubridate.
Ulrich, Joshua. 2021.
TTR: Technical Trading Rules.
https://github.com/joshuaulrich/TTR.
Wang, Earo, Dianne Cook, and Rob J Hyndman. 2020.
“A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data.” Journal of Computational and Graphical Statistics 29 (3): 466–78.
https://doi.org/10.1080/10618600.2019.1695624.
Wang, Earo, Di Cook, Rob Hyndman, and Mitchell O’Hara-Wild. 2022.
Tsibble: Tidy Temporal Data Frames and Tools.
https://tsibble.tidyverts.org.
Wickham, Hadley. 2016.
Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.
https://ggplot2.tidyverse.org.
———. 2022a.
Stringr: Simple, Consistent Wrappers for Common String Operations.
https://CRAN.R-project.org/package=stringr.
———. 2022b.
Tidyverse: Easily Install and Load the Tidyverse.
https://CRAN.R-project.org/package=tidyverse.
———. 2023.
Forcats: Tools for Working with Categorical Variables (Factors).
https://CRAN.R-project.org/package=forcats.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019.
“Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686.
https://doi.org/10.21105/joss.01686.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2023.
Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics.
https://CRAN.R-project.org/package=ggplot2.
Wickham, Hadley, Romain François, Lionel Henry, Kirill Müller, and Davis Vaughan. 2023.
Dplyr: A Grammar of Data Manipulation.
https://CRAN.R-project.org/package=dplyr.
Wickham, Hadley, and Lionel Henry. 2023.
Purrr: Functional Programming Tools.
https://CRAN.R-project.org/package=purrr.
Wickham, Hadley, Jim Hester, and Jennifer Bryan. 2023.
Readr: Read Rectangular Text Data.
https://CRAN.R-project.org/package=readr.
Wickham, Hadley, Davis Vaughan, and Maximilian Girlich. 2023.
Tidyr: Tidy Messy Data.
https://CRAN.R-project.org/package=tidyr.
Xie, Yihui, Joe Cheng, and Xianying Tan. 2023.
DT: A Wrapper of the JavaScript Library DataTables.
https://github.com/rstudio/DT.
Zeileis, Achim, and Gabor Grothendieck. 2005.
“Zoo: S3 Infrastructure for Regular and Irregular Time Series.” Journal of Statistical Software 14 (6): 1–27.
https://doi.org/10.18637/jss.v014.i06.
Zeileis, Achim, Gabor Grothendieck, and Jeffrey A. Ryan. 2022.
Zoo: S3 Infrastructure for Regular and Irregular Time Series (z’s Ordered Observations).
https://zoo.R-Forge.R-project.org/.